Actuarial scientist
Apply actuarial methods to uncertain outcomes, turning data and assumptions into models for business decisions.
On site or remote
A guide to the work this role can cover. Current candidates and availability are confirmed against your brief.
The work to cover
- Develop statistical models for claims, cash flows or other uncertain outcomes.
- Test assumptions and explain sensitivity, uncertainty and limits of use.
What to assess
Use the brief to decide which technical evidence matters. An assessment could explore the following:
Compare modelling approaches for an uncertain outcome and explain the assumptions, validation and professional review needed.
Consultant profile
Michael R.Senior actuarial analystCape Town, South Africa
- How they can help
- Tests risk models across changing assumptions and explains sensitivities, limitations and uncertainty for actuarial review.
- Experience
- 11 years
- Qualification
- BSc Hons, Actuarial Science
- Key systems
- R / Python / Excel
Testing how changing assumptions affect a risk model
The example brief
A risk team needs to compare scenarios where claims patterns and economic assumptions change together.
What the contribution could look like
- Prepare the experience data and test the model across documented scenarios.
- Explain sensitivities, limitations and uncertainty for the accountable actuarial or risk reviewer.
Working alongside
Actuarial specialists, risk leadership, data scientists and finance teams.
Brief us on this role
Start with this role, then tell us what the work needs. You can clear the role and describe the work in your own words.